The flow of international students from a macro perspective: a network analysis

Networks of international student mobility: enlargement and consolidation of the European transnational education space?

“…Previous studies on cross-national student mobility found out that the flow of international students is closely tied to economic development (see Wu 1995, Chen andBarnett 2000); thus, we use general socioeconomic similarities-in our case measured as the (negative) absolute distance between the GDP per capita of two countriesto account for national capabilities. According to a recent study on international student mobility, a common language between two countries is among the most important predictors for the structure of the flow of exchanged students (see Barnett et al 2015); we thus account for cultural similarity by coding whether two countries' official language(s) belong to the language family or language branch (see Lewis et al 2015). Additionally, since the existence of a common border between two countries and geographical proximity between them has been identified as important predictors for student exchange patterns between them (see Barnett et al 2015), we include information as to whether two countries of a dyad share a common land or sea border.…”

“…According to a recent study on international student mobility, a common language between two countries is among the most important predictors for the structure of the flow of exchanged students (see Barnett et al 2015); we thus account for cultural similarity by coding whether two countries' official language(s) belong to the language family or language branch (see Lewis et al 2015). Additionally, since the existence of a common border between two countries and geographical proximity between them has been identified as important predictors for student exchange patterns between them (see Barnett et al 2015), we include information as to whether two countries of a dyad share a common land or sea border. In addition to these similarities, the effects of (d) common membership to supra and transnational institutions are considered and measured through a variable that indicates whether both countries of a dyad are EU member states and members to the Bologna Process, respectively.…”

“…As the monograph by Maoz (2011) has convincingly demonstrated, SNA offers extremely useful strategies to model many different kinds of relationships (e.g., trade and ally relationships) at the state level. SNA has been applied by Barnett and Wu (1995), who were among the first to apply SNA to study transnational student mobility, by Shields (2013), by Barnett et al (2015) as well as by Shields (2015) to analyze patterns of international student mobility. Whatever the reason or direction, we believe that diplomaseeking student mobility flows from country A to country B are best analyzed with data that capture this pairwise, or dyadic, structure in a cross-national context.…”

Evolution of the International Hyperlink Network

“…international student exchange (Barnett, Lee, Jiang, & Park, 2015). Figure 1 shows the growth in international hyperlinks by data collection period.…”

“…The same data sets were previously used in different contexts: the ego network of the .com domain (Chung et al, 2014), international online content flow (Choi & Park, 2014), and Rosen et al (2011) Internet hyperlink n/a Lee and Park (2012) Interlink of world class university 2010 Hsu and Park (2012) Authorship, subject topic, website format. 2010 Chung et al (2014) Dotcom web community 2009 Choi and Park (2014) Internet host 2010 Barnett and Park (2014) Internet hyperlink, bandwidth, shared website 2010 Barnett et al (2015) Internet hyperlink, international student flow 2010 Huang and Sun (2015) Homeowner forum n/a Ruiz and Barnett (2015) Ownership of up and downstreams 2011…”